Titan Graph Databases with Cassandra - Beginning Apache Cassandra Development - page 193

conf.setProperty("storage.backend",
"cassandrathrift");
conf.setProperty("storage.hostname",
"localhost");
conf.setProperty("storage.port", "9160");
conf.setProperty("storage.keyspace",
"twitter");

Table 7-1 . Titan configuration properties

Property Value Description

storage.backend cassandrathrift Cassandra as backend

storage

storage.hostname localhost Thrift listen_address,

change according to
your Cassandra server
settings.

storage.port 9160 Thrift rp

Cassandra keyspace
for Titan Graph stor-
age

storage.keyspace Twitter

Table 7-1 outlines and describes the configuration properties we used
in the preceding step.

2. Next we need to open a graph instance using TitanFactory:

TitanGraph graph = TitanFactory.open(conf);

Let's further explore the Titan Java API with Cassandra via a few use cases, such as
reading, writing, and batch processing data.

Use Cases

In this section, we will discuss graph traversal, reading, writing, and batch processing
with graph data. Let's first discuss a scenario in which vertices and connecting edges
are large in number, which is quite common with big data.